Sickle cell drugs could be tested with help from new computer model
New computer model that simulates the way red blood cells become misshapen by sickle cell disease could identity promising drug candidates.
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New computer model that simulates the way red blood cells become misshapen by sickle cell disease could identity promising drug candidates.
Claus Bendtsen at AstraZeneca reveals how AI can be used to improve our understanding of disease, to help identify the causes of conditions and aid in drug discovery.
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Researchers hope the system can choose the right patients to enroll in clinical trials, to speed discovery of drug treatments.
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Sartorius debuts their new product, the Intellicyt iQue3, at this year's CYTO® conference and exhibition.
Mosaic Sample Management is Titian Software’s comprehensive, customisable, modular software product to control and monitor all aspects of sample storage, preparation and delivery.
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Nuclear magnetic resonance measurement and state-of-the-art computational science reveal protein structures in higher eukaryotic cells.
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Typically, early drug discovery campaigns start with the screening of chemical libraries to identify candidate chemotypes modulating a particular target and/or phenotype. Success of the primary screening depends on multiple factors related to both biology and chemistry. These include the target’s druggability, sensitivity and specificity of assay system, composition and…
Using a computational model, researchers were able to explain, predict, and manipulate the regeneration of a flatworm body.
New method for computational mass spectrometry will speed up the discovery of natural products that could be used in medicines...
Data drives drug discovery, yet it continues to be among the biggest challenges faced by the industry.1 Experiments are often not repeatable and data interpretation is subject to the biases and limitations of human beings.